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News/Efficiently Learning Drifting Halfspaces with Massart Noise
arxiv
PublishedJune 10, 2026 at 4:00 AM
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Efficiently Learning Drifting Halfspaces with Massart Noise

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arXiv:2606.11149v1 Announce Type: new Abstract: We study the problem of learning a drifting concept in the presence of Massart noise. In this framework, an online learner has access to a history of independent samples whose labels are noisy versions of a target concept that may change from round to

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